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Probability & Statistics

 
지은이 : Spiegel
출판사 : McGraw-Hill
ISBN : 0070990301
예상출고일 : 입금확인후 2일 이내
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도서가격 : 품절
     

 



Master probability and statistics with "Schaum's" - the high-performance study guide. It will help you study efficiently, develop problem-solving skills, and achieve your personal best on exams! Students love "Schaum's Outlines" because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. If you don't have a lot of time but want to excel in class, use this book to: brush up before tests; find answers fast; study quickly and more effectively; and, get the big picture without spending hours poring over lengthy textbooks."Schaum's Outlines" give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary detail. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, "Schaum's" let you study at your own pace and remind you of all the important facts you need to remember - fast! And "Schaum's" are so complete, they're perfect for preparing for graduate or professional exams.Inside you will find: 760 fully-worked problems with step-by-step solutions; hundreds of additional practice problems with answers; coverage of all course fundamentals; and, easy-to-understand methodology. If you want top grades and a thorough understanding of probability and statistics, this powerful study tool is the best tutor you can have! Chapters include: Basic Probability; Random Variables and Probability Distributions; Mathematical Expectation; Special Probability Distributions; Sampling Theory; Estimation Theory; Tests of Hypotheses and Significance; Curve Fitting, Regression, and Correlation; Analysis of Variance; and, Nonparametric Tests.
--This text refers to an alternate Paperback edition.

John J. Schiller, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.


Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.

--This text refers to an alternate Paperback edition.
Part I: Probability.

Chapter 1: Basic Probability.

Chapter 2: Random Variables and Probability Distributions.

Chapter 3: Mathematical Expectation.

Chapter 4: Special Probability Distributions.

Part II: Statistics.

Chapter 5: Sampling Theory.

Chapter 6: Estimation Theory.

Chapter 7: Tests of Hypotheses and Significance.

Chapter 8: Curve Fitting, Regression, and Correlation.

Chapter 9: Analysis of Variance.

Chapter 10: Nonparametric Tests.

Appendices.

Index.

Index for Solved Problems

"
As with all Schaum Outlines series, this is an excellent book
for every college/univserity degree level student facing
the statistics finals. Over 800 pages long, hundreds of
examples, covering descriptive and inductive methods at length
, together with the vital mathematical theory
give the reader the background needed to pass any statistics
finals. I used this when learning for mine, and it worked
out great. "

"
The downfall of this particular text is the extent at which particular knowledge is assumed. This text fails to explain thoroughly some important concepts and i would suggest that you opt for something called 'understanding statistics' by oxford university press. That book takes a different approach, by placing questions into context and written explanation takes up the majority of the book. Overall this book is good as a 'refresher' but those starting a statistics course will find this hard to follow. How long will it take before people realise that you cant learn just from worked examples?

While im on this criticizing streak i might as well talk about the flimsy, cheap quality of the schaum books. Why is it that the pages are so thin and tear soo easily? "

"
This book is full of Statistical calculation problems and some worked examples without adequate or deeper Theoretical explanation of the concepts, hence making it difficult to use as a beginer, I would prefer Statistics and Probability for Engineers and Scientist by Hayter especially if you are an Engineering or Science Student, however if you are already well grounded in Advanced statistics and probability and looking for some problems to solve, it might be useful, for me, it's not. I recommend using it in conjuction with another book that will explain the concepts better "
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